Emanuela Marcenaro
- Immunology top 0.1%
- Oncology top 0.5%
- Hematology top 1%
- Epidemiology top 5%
- Molecular Biology top 10%
- Co-authors
- Alessandro MorettaLorenzo MorettaSimona SivoriCristina BottinoSilvia ParoliniSilvia PesceRoberto BiassoniDaniela Pende
- Topics
- Immune Cell Function and Interaction (91 papers)T-cell and B-cell Immunology (61 papers)CAR-T cell therapy research (17 papers)
- Cited by
- ImmunologyVirologyOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- ItalyFranceSwitzerland
In The Last Decade
Emanuela Marcenaro
102 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Immunology 8.5k
- Oncology 2.8k
- Hematology 1.0k
- Epidemiology 948
- Molecular Biology 751
Countries citing papers authored by Emanuela Marcenaro
This map shows the geographic impact of Emanuela Marcenaro's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Emanuela Marcenaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuela Marcenaro more than expected).
Fields of papers citing papers by Emanuela Marcenaro
This network shows the impact of papers produced by Emanuela Marcenaro. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Emanuela Marcenaro. The network helps show where Emanuela Marcenaro may publish in the future.
Co-authorship network of co-authors of Emanuela Marcenaro
This figure shows the co-authorship network connecting the top 25 collaborators of Emanuela Marcenaro. A scholar is included among the top collaborators of Emanuela Marcenaro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emanuela Marcenaro. Emanuela Marcenaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 12 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 16 | |
| 8 | 5 | |
| 9 | 33 | |
| 10 | 11 | |
| 11 | 73 | |
| 12 | 369 | |
| 13 | 77 | |
| 14 | 99 | |
| 15 | 63 | |
| 16 | 183 | |
| 17 | 33 | |
| 18 | TGFβ1 inhibits the surface expression of the NKp30 and NKG2D triggering NK receptors: consequences for the NK-mediated killing of dendritic cells | 1 |
| 19 | 102 | |
| 20 | 341 |
About Emanuela Marcenaro
Emanuela Marcenaro is a scholar working on Immunology, Oncology and Virology, having authored 104 papers that have together received 9.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (91 papers), T-cell and B-cell Immunology (61 papers) and CAR-T cell therapy research (17 papers). The work is most often cited by research in Immunology (8.5k citations), Virology (744 citations) and Oncology (2.8k citations). Emanuela Marcenaro has collaborated with scholars based in Italy, France and Switzerland. Frequent co-authors include Alessandro Moretta, Lorenzo Moretta, Simona Sivori, Cristina Bottino, Silvia Parolini, Silvia Pesce, Roberto Biassoni, Daniela Pende, Massimo Vitale and Roberta Castriconi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.